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Author:

Xie, Qiwei (Xie, Qiwei.) (Scholars:谢启伟) | Zhao, Mengfan (Zhao, Mengfan.) | Li, Rong (Li, Rong.) | Li, Wen (Li, Wen.) | Zheng, Xiaolong (Zheng, Xiaolong.) | Li, Yongjun (Li, Yongjun.) | Qin, Rui (Qin, Rui.) | Wang, Xiaojiong (Wang, Xiaojiong.) | Wang, Fei-Yue (Wang, Fei-Yue.)

Indexed by:

EI Scopus SCIE

Abstract:

The insurance industry plays a crucial role of the national financial system, and the operating efficiency of insurance companies has always been a significant subject of academic research. This study proposes a multiperiod DEA model to dynamically evaluate the operating efficiency of insurance companies, which not only overcomes the defect of the traditional DEA method ignoring the internal structure of decision-making units, but also extends the limitation of the leader-follower model in evaluating single-period efficiency. By analyzing the efficiency of seven listed insurance companies in China from 2009 to 2018, the following conclusions are drawn. The multiperiod DEA model demonstrates advantages over the leader-follower model. The profitability of insurance companies during the first five years is higher compared with the last five years. There is a significant correlation between premium financing efficiency and overall efficiency. Throughout both periods, the loss ratio, loss reserve ratio, and consumer price index (CPI) are always positively correlated with the efficiency of the insurer, while the gearing ratio is negatively related to the efficiency of the insurer. The correlation among gross domestic product (GDP), total insurance value, tradable financial assets, and corporate efficiency varies over time.

Keyword:

insurance companies multiple periods DEA leader-follower model

Author Community:

  • [ 1 ] [Xie, Qiwei]Beijing Univ Technol, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China
  • [ 2 ] [Zhao, Mengfan]Beijing Univ Technol, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China
  • [ 3 ] [Li, Rong]Beijing Univ Technol, Res Base Beijing Modern Mfg Dev, Beijing 100124, Peoples R China
  • [ 4 ] [Li, Wen]Hubei Univ, Fac Math & Stat, Wuhan 430062, Peoples R China
  • [ 5 ] [Zheng, Xiaolong]Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
  • [ 6 ] [Wang, Fei-Yue]Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
  • [ 7 ] [Zheng, Xiaolong]Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China
  • [ 8 ] [Wang, Fei-Yue]Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China
  • [ 9 ] [Li, Yongjun]Univ Sci & Technol China, Sch Management, Hefei 230026, Peoples R China
  • [ 10 ] [Qin, Rui]Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
  • [ 11 ] [Qin, Rui]Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China
  • [ 12 ] [Wang, Xiaojiong]Chinese Acad Sci, Inst Sci & Dev, Beijing 100190, Peoples R China

Reprint Author's Address:

  • [Wang, Xiaojiong]Chinese Acad Sci, Inst Sci & Dev, Beijing 100190, Peoples R China;;

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Source :

IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS

ISSN: 2329-924X

Year: 2023

Issue: 2

Volume: 11

Page: 2656-2674

5 . 0 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 11

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